Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	131
Missing cells	183
Missing cells (%)	4.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	29.8 KiB
Average record size in memory	233.0 B

Variable types

Numeric	9
Categorical	20

Alerts

`airdate` has constant value "2020-12-25"	Constant
`url` has a high cardinality: 131 distinct values	High cardinality
`name` has a high cardinality: 116 distinct values	High cardinality
`image` has a high cardinality: 52 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 76 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 76 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 58 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 66 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 69 distinct values	High cardinality
`_links_self_href` has a high cardinality: 131 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_ended` and 14 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`summary` is highly correlated with `airdate` and 1 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`image` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`id` is highly correlated with `season` and 17 other fields	High correlation
`season` is highly correlated with `id` and 7 other fields	High correlation
`number` is highly correlated with `season` and 7 other fields	High correlation
`type` is highly correlated with `id` and 8 other fields	High correlation
`airtime` is highly correlated with `airstamp` and 13 other fields	High correlation
`airstamp` is highly correlated with `id` and 18 other fields	High correlation
`runtime` is highly correlated with `id` and 14 other fields	High correlation
`image` is highly correlated with `id` and 21 other fields	High correlation
`summary` is highly correlated with `runtime` and 5 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `type` and 17 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_ended` is highly correlated with `airtime` and 15 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `image` and 5 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 17 other fields	High correlation
`number` has 7 (5.3%) missing values	Missing
`runtime` has 19 (14.5%) missing values	Missing
`image` has 79 (60.3%) missing values	Missing
`_embedded_show_runtime` has 61 (46.6%) missing values	Missing
`_embedded_show_averageRuntime` has 17 (13.0%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique
`_embedded_show_weight` has 5 (3.8%) zeros	Zeros

Reproduction

Analysis started	2022-05-10 02:20:40.561658
Analysis finished	2022-05-10 02:21:20.352362
Duration	39.79 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2055166.145

Minimum	1910449
Maximum	2324417
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1910449
5-th percentile	1950007.5
Q1	1981794.5
median	1993101
Q3	2126990
95-th percentile	2292864.5
Maximum	2324417
Range	413968
Interquartile range (IQR)	145195.5

Descriptive statistics

Standard deviation	117931.4368
Coefficient of variation (CV)	0.05738292112
Kurtosis	-0.245962206
Mean	2055166.145
Median Absolute Deviation (MAD)	20526
Skewness	1.153188784
Sum	269226765
Variance	1.390782378 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1968115	1	0.8%
2240456	1	0.8%
2197291	1	0.8%
2094667	1	0.8%
2074188	1	0.8%
2072228	1	0.8%
2051985	1	0.8%
2000069	1	0.8%
2000068	1	0.8%
1997529	1	0.8%
Other values (121)	121	92.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1910449	1	0.8%
1924891	1	0.8%
1950003	1	0.8%
1950004	1	0.8%
1950005	1	0.8%
1950006	1	0.8%
1950007	1	0.8%
1950008	1	0.8%
1950009	1	0.8%
1950405	1	0.8%

Value	Count	Frequency (%)
2324417	1	0.8%
2324416	1	0.8%
2323795	1	0.8%
2323794	1	0.8%
2323793	1	0.8%
2292866	1	0.8%
2292865	1	0.8%
2292864	1	0.8%
2292863	1	0.8%
2292862	1	0.8%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	1
https://www.tvmaze.com/episodes/2240456/filly-funtasia-2x02-the-treasure-hunt	1
https://www.tvmaze.com/episodes/2197291/struggle-meals-1x15-show-me-the-mole	1
https://www.tvmaze.com/episodes/2094667/paradka-1x01-smagcausie-obstoatelstva	1
https://www.tvmaze.com/episodes/2074188/my-lecturer-my-husband-1x03-episode-3	1
Other values (126)	126

Length

Max length	171
Median length	96
Mean length	76.79389313
Min length	58

Characters and Unicode

Total characters	10060
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	131 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306
2nd row	https://www.tvmaze.com/episodes/2121269/fiksiki-4x18-sanki
3rd row	https://www.tvmaze.com/episodes/1984017/roast-battle-labelcom-1x15-15-dana-milohin
4th row	https://www.tvmaze.com/episodes/1991483/psih-s01-special-film-o-filme
5th row	https://www.tvmaze.com/episodes/1988016/muzskaa-tema-1x05-seria-5

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	1	0.8%
https://www.tvmaze.com/episodes/2240456/filly-funtasia-2x02-the-treasure-hunt	1	0.8%
https://www.tvmaze.com/episodes/2197291/struggle-meals-1x15-show-me-the-mole	1	0.8%
https://www.tvmaze.com/episodes/2094667/paradka-1x01-smagcausie-obstoatelstva	1	0.8%
https://www.tvmaze.com/episodes/2074188/my-lecturer-my-husband-1x03-episode-3	1	0.8%
https://www.tvmaze.com/episodes/2072228/top-dog-fighting-championship-6x01-mihail-sivyj-vs-andrej-panda	1	0.8%
https://www.tvmaze.com/episodes/2051985/pro-balet-s-nikolaem-ciskaridze-1x31-nikolaj-ciskaridze-pro-balet-vypusk30-golubaa-ptica-russkaa-versia-pro-ballet-part30-sleepingb	1	0.8%
https://www.tvmaze.com/episodes/2000069/ultimate-note-1x22-episode-22	1	0.8%
https://www.tvmaze.com/episodes/2000068/ultimate-note-1x21-episode-21	1	0.8%
https://www.tvmaze.com/episodes/1997529/the-penalty-zone-1x22-episode-22	1	0.8%
Other values (121)	121	92.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	1	0.8%
https://www.tvmaze.com/episodes/1976541/var-tid-ar-nu-4x02-midsommar	1	0.8%
https://www.tvmaze.com/episodes/1984017/roast-battle-labelcom-1x15-15-dana-milohin	1	0.8%
https://www.tvmaze.com/episodes/1991483/psih-s01-special-film-o-filme	1	0.8%
https://www.tvmaze.com/episodes/1988016/muzskaa-tema-1x05-seria-5	1	0.8%
https://www.tvmaze.com/episodes/2062929/god-of-ten-thousand-realms-1x04-episode-4	1	0.8%
https://www.tvmaze.com/episodes/2030154/fox-spirit-matchmaker-9x04-episode-125	1	0.8%
https://www.tvmaze.com/episodes/2324416/unique-lady-2x07-episode-7	1	0.8%
https://www.tvmaze.com/episodes/2324417/unique-lady-2x08-episode-8	1	0.8%
https://www.tvmaze.com/episodes/1972575/the-wolf-1x33-episode-33	1	0.8%
Other values (121)	121	92.4%

Most occurring characters

Value	Count	Frequency (%)
e	816	8.1%
-	718	7.1%
/	655	6.5%
t	640	6.4%
s	629	6.3%
o	530	5.3%
a	433	4.3%
w	430	4.3%
i	404	4.0%
m	382	3.8%
Other values (30)	4423	44.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6896	68.5%
Decimal Number	1398	13.9%
Other Punctuation	1048	10.4%
Dash Punctuation	718	7.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	816	11.8%
t	640	9.3%
s	629	9.1%
o	530	7.7%
a	433	6.3%
w	430	6.2%
i	404	5.9%
m	382	5.5%
p	368	5.3%
d	271	3.9%
Other values (16)	1993	28.9%

Decimal Number

Value	Count	Frequency (%)
1	271	19.4%
2	205	14.7%
0	201	14.4%
9	159	11.4%
4	120	8.6%
8	94	6.7%
5	89	6.4%
6	89	6.4%
3	87	6.2%
7	83	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	655	62.5%
.	262	25.0%
:	131	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	718	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6896	68.5%
Common	3164	31.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	816	11.8%
t	640	9.3%
s	629	9.1%
o	530	7.7%
a	433	6.3%
w	430	6.2%
i	404	5.9%
m	382	5.5%
p	368	5.3%
d	271	3.9%
Other values (16)	1993	28.9%

Common

Value	Count	Frequency (%)
-	718	22.7%
/	655	20.7%
1	271	8.6%
.	262	8.3%
2	205	6.5%
0	201	6.4%
9	159	5.0%
:	131	4.1%
4	120	3.8%
8	94	3.0%
Other values (4)	348	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10060	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	816	8.1%
-	718	7.1%
/	655	6.5%
t	640	6.4%
s	629	6.3%
o	530	5.3%
a	433	4.3%
w	430	4.3%
i	404	4.0%
m	382	3.8%
Other values (30)	4423	44.0%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	116
Distinct (%)	88.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Episode 6	4
Episode 7	4
Episode 8	3
Episode 4	3
Episode 1	2
Other values (111)	115

Length

Max length	96
Median length	31
Mean length	15.48091603
Min length	3

Characters and Unicode

Total characters	2028
Distinct characters	125
Distinct categories	9 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	107 ?
Unique (%)	81.7%

Sample

1st row	Выпуск 306
2nd row	Санки
3rd row	#15 - Даня Милохин
4th row	Фильм о фильме
5th row	Серия 5

Common Values

Value	Count	Frequency (%)
Episode 6	4	3.1%
Episode 7	4	3.1%
Episode 8	3	2.3%
Episode 4	3	2.3%
Episode 1	2	1.5%
Episode 22	2	1.5%
Episode 3	2	1.5%
Episode 23	2	1.5%
Episode 21	2	1.5%
Vera - Mudanças	1	0.8%
Other values (106)	106	80.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	38	10.7%
the	16	4.5%
of	10	2.8%
6	5	1.4%
i	5	1.4%
and	5	1.4%
7	4	1.1%
2	4	1.1%
a	4	1.1%
3	4	1.1%
Other values (233)	260	73.2%

Most occurring characters

Value	Count	Frequency (%)
	224	11.0%
e	175	8.6%
o	121	6.0%
s	106	5.2%
i	105	5.2%
a	90	4.4%
r	83	4.1%
t	69	3.4%
d	62	3.1%
p	59	2.9%
Other values (115)	934	46.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1376	67.9%
Uppercase Letter	300	14.8%
Space Separator	224	11.0%
Decimal Number	86	4.2%
Other Punctuation	23	1.1%
Dash Punctuation	15	0.7%
Other Letter	2	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	175	12.7%
o	121	8.8%
s	106	7.7%
i	105	7.6%
a	90	6.5%
r	83	6.0%
t	69	5.0%
d	62	4.5%
p	59	4.3%
n	58	4.2%
Other values (48)	448	32.6%

Uppercase Letter

Value	Count	Frequency (%)
E	44	14.7%
A	25	8.3%
T	24	8.0%
M	18	6.0%
S	17	5.7%
B	17	5.7%
H	14	4.7%
D	13	4.3%
W	11	3.7%
F	11	3.7%
Other values (32)	106	35.3%

Decimal Number

Value	Count	Frequency (%)
2	17	19.8%
1	15	17.4%
3	13	15.1%
6	7	8.1%
4	7	8.1%
7	7	8.1%
8	6	7.0%
5	6	7.0%
0	6	7.0%
9	2	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	4	17.4%
,	4	17.4%
?	3	13.0%
:	3	13.0%
#	3	13.0%
'	2	8.7%
&	2	8.7%
/	1	4.3%
!	1	4.3%

Other Letter

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Space Separator

Value	Count	Frequency (%)
	224	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1505	74.2%
Common	350	17.3%
Cyrillic	171	8.4%
Han	2	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	175	11.6%
o	121	8.0%
s	106	7.0%
i	105	7.0%
a	90	6.0%
r	83	5.5%
t	69	4.6%
d	62	4.1%
p	59	3.9%
n	58	3.9%
Other values (42)	577	38.3%

Cyrillic

Value	Count	Frequency (%)
и	16	9.4%
а	16	9.4%
с	10	5.8%
е	8	4.7%
л	7	4.1%
р	7	4.1%
к	7	4.1%
в	6	3.5%
о	6	3.5%
я	6	3.5%
Other values (38)	82	48.0%

Common

Value	Count	Frequency (%)
	224	64.0%
2	17	4.9%
1	15	4.3%
-	15	4.3%
3	13	3.7%
6	7	2.0%
4	7	2.0%
7	7	2.0%
8	6	1.7%
5	6	1.7%
Other values (13)	33	9.4%

Han

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1846	91.0%
Cyrillic	171	8.4%
None	9	0.4%
CJK	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	224	12.1%
e	175	9.5%
o	121	6.6%
s	106	5.7%
i	105	5.7%
a	90	4.9%
r	83	4.5%
t	69	3.7%
d	62	3.4%
p	59	3.2%
Other values (60)	752	40.7%

Cyrillic

Value	Count	Frequency (%)
и	16	9.4%
а	16	9.4%
с	10	5.8%
е	8	4.7%
л	7	4.1%
р	7	4.1%
к	7	4.1%
в	6	3.5%
о	6	3.5%
я	6	3.5%
Other values (38)	82	48.0%

None

Value	Count	Frequency (%)
ø	3	33.3%
ö	2	22.2%
å	2	22.2%
ç	1	11.1%
ó	1	11.1%

CJK

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.79389313

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	9
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	176.3016522
Coefficient of variation (CV)	9.907986461
Kurtosis	130.9317331
Mean	17.79389313
Median Absolute Deviation (MAD)	0
Skewness	11.44109677
Sum	2331
Variance	31082.27258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	75	57.3%
2	27	20.6%
4	10	7.6%
9	8	6.1%
3	4	3.1%
6	3	2.3%
5	1	0.8%
17	1	0.8%
2020	1	0.8%
18	1	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	75	57.3%
2	27	20.6%
3	4	3.1%
4	10	7.6%
5	1	0.8%
6	3	2.3%
9	8	6.1%
17	1	0.8%
18	1	0.8%
2020	1	0.8%

Value	Count	Frequency (%)
2020	1	0.8%
18	1	0.8%
17	1	0.8%
9	8	6.1%
6	3	2.3%
5	1	0.8%
4	10	7.6%
3	4	3.1%
2	27	20.6%
1	75	57.3%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	25.0%
Missing	7
Missing (%)	5.3%
Infinite	0
Infinite (%)	0.0%
Mean	12.68548387

Minimum	1
Maximum	352
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	11.25
95-th percentile	33
Maximum	352
Range	351
Interquartile range (IQR)	8.25

Descriptive statistics

Standard deviation	33.18986204
Coefficient of variation (CV)	2.616365475
Kurtosis	90.52177946
Mean	12.68548387
Median Absolute Deviation (MAD)	3
Skewness	8.986459044
Sum	1573
Variance	1101.566942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
4	13	9.9%
6	12	9.2%
1	12	9.2%
5	11	8.4%
2	11	8.4%
7	10	7.6%
3	9	6.9%
8	7	5.3%
10	3	2.3%
15	3	2.3%
Other values (21)	33	25.2%
(Missing)	7	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	12	9.2%
2	11	8.4%
3	9	6.9%
4	13	9.9%
5	11	8.4%
6	12	9.2%
7	10	7.6%
8	7	5.3%
9	3	2.3%
10	3	2.3%

Value	Count	Frequency (%)
352	1	0.8%
87	1	0.8%
74	1	0.8%
52	1	0.8%
35	1	0.8%
34	1	0.8%
33	2	1.5%
31	1	0.8%
24	1	0.8%
23	3	2.3%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

regular	124
insignificant_special	4
significant_special	3

Length

Max length	21
Median length	7
Mean length	7.702290076
Min length	7

Characters and Unicode

Total characters	1009
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	insignificant_special
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	124	94.7%
insignificant_special	4	3.1%
significant_special	3	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	124	94.7%
insignificant_special	4	3.1%
significant_special	3	2.3%

Most occurring characters

Value	Count	Frequency (%)
r	248	24.6%
a	138	13.7%
e	131	13.0%
g	131	13.0%
l	131	13.0%
u	124	12.3%
i	32	3.2%
n	18	1.8%
s	14	1.4%
c	14	1.4%
Other values (4)	28	2.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1002	99.3%
Connector Punctuation	7	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	248	24.8%
a	138	13.8%
e	131	13.1%
g	131	13.1%
l	131	13.1%
u	124	12.4%
i	32	3.2%
n	18	1.8%
s	14	1.4%
c	14	1.4%
Other values (3)	21	2.1%

Connector Punctuation

Value	Count	Frequency (%)
_	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1002	99.3%
Common	7	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	248	24.8%
a	138	13.8%
e	131	13.1%
g	131	13.1%
l	131	13.1%
u	124	12.4%
i	32	3.2%
n	18	1.8%
s	14	1.4%
c	14	1.4%
Other values (3)	21	2.1%

Common

Value	Count	Frequency (%)
_	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1009	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	248	24.6%
a	138	13.7%
e	131	13.0%
g	131	13.0%
l	131	13.0%
u	124	12.3%
i	32	3.2%
n	18	1.8%
s	14	1.4%
c	14	1.4%
Other values (4)	28	2.8%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-25	131

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1310
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-25
2nd row	2020-12-25
3rd row	2020-12-25
4th row	2020-12-25
5th row	2020-12-25

Common Values

Value	Count	Frequency (%)
2020-12-25	131	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-25	131	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	524	40.0%
0	262	20.0%
-	262	20.0%
1	131	10.0%
5	131	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1048	80.0%
Dash Punctuation	262	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	524	50.0%
0	262	25.0%
1	131	12.5%
5	131	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	262	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1310	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	524	40.0%
0	262	20.0%
-	262	20.0%
1	131	10.0%
5	131	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	524	40.0%
0	262	20.0%
-	262	20.0%
1	131	10.0%
5	131	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	98
20:00	11
12:00	7
06:00	7
21:00	2
Other values (6)	6

Length

Max length	5
Median length	3
Mean length	3.503816794
Min length	3

Characters and Unicode

Total characters	459
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	4.6%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	12:00
5th row	12:00

Common Values

Value	Count	Frequency (%)
nan	98	74.8%
20:00	11	8.4%
12:00	7	5.3%
06:00	7	5.3%
21:00	2	1.5%
10:00	1	0.8%
17:00	1	0.8%
19:00	1	0.8%
20:45	1	0.8%
22:00	1	0.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	98	74.8%
20:00	11	8.4%
12:00	7	5.3%
06:00	7	5.3%
21:00	2	1.5%
10:00	1	0.8%
17:00	1	0.8%
19:00	1	0.8%
20:45	1	0.8%
22:00	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
n	196	42.7%
a	98	21.4%
0	86	18.7%
:	33	7.2%
2	23	5.0%
1	12	2.6%
6	7	1.5%
7	1	0.2%
9	1	0.2%
4	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	294	64.1%
Decimal Number	132	28.8%
Other Punctuation	33	7.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	86	65.2%
2	23	17.4%
1	12	9.1%
6	7	5.3%
7	1	0.8%
9	1	0.8%
4	1	0.8%
5	1	0.8%

Lowercase Letter

Value	Count	Frequency (%)
n	196	66.7%
a	98	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	294	64.1%
Common	165	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	86	52.1%
:	33	20.0%
2	23	13.9%
1	12	7.3%
6	7	4.2%
7	1	0.6%
9	1	0.6%
4	1	0.6%
5	1	0.6%

Latin

Value	Count	Frequency (%)
n	196	66.7%
a	98	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	196	42.7%
a	98	21.4%
0	86	18.7%
:	33	7.2%
2	23	5.0%
1	12	2.6%
6	7	1.5%
7	1	0.2%
9	1	0.2%
4	1	0.2%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	11.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-25T12:00:00+00:00	75
2020-12-25T04:00:00+00:00	14
2020-12-25T11:00:00+00:00	13
2020-12-25T05:00:00+00:00	7
2020-12-25T16:00:00+00:00	7
Other values (10)	15

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	3275
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	6.1%

Sample

1st row	2020-12-25T00:00:00+00:00
2nd row	2020-12-25T00:00:00+00:00
3rd row	2020-12-25T00:00:00+00:00
4th row	2020-12-25T00:00:00+00:00
5th row	2020-12-25T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-25T12:00:00+00:00	75	57.3%
2020-12-25T04:00:00+00:00	14	10.7%
2020-12-25T11:00:00+00:00	13	9.9%
2020-12-25T05:00:00+00:00	7	5.3%
2020-12-25T16:00:00+00:00	7	5.3%
2020-12-25T00:00:00+00:00	5	3.8%
2020-12-25T13:00:00+00:00	2	1.5%
2020-12-25T02:00:00+00:00	1	0.8%
2020-12-25T06:30:00+00:00	1	0.8%
2020-12-25T07:00:00+00:00	1	0.8%
Other values (5)	5	3.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-25t12:00:00+00:00	75	57.3%
2020-12-25t04:00:00+00:00	14	10.7%
2020-12-25t11:00:00+00:00	13	9.9%
2020-12-25t05:00:00+00:00	7	5.3%
2020-12-25t16:00:00+00:00	7	5.3%
2020-12-25t00:00:00+00:00	5	3.8%
2020-12-25t13:00:00+00:00	2	1.5%
2020-12-25t02:00:00+00:00	1	0.8%
2020-12-25t06:30:00+00:00	1	0.8%
2020-12-25t07:00:00+00:00	1	0.8%
Other values (5)	5	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	1344	41.0%
2	601	18.4%
:	393	12.0%
-	262	8.0%
1	244	7.5%
5	140	4.3%
T	131	4.0%
+	131	4.0%
4	15	0.5%
6	8	0.2%
Other values (4)	6	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2358	72.0%
Other Punctuation	393	12.0%
Dash Punctuation	262	8.0%
Uppercase Letter	131	4.0%
Math Symbol	131	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1344	57.0%
2	601	25.5%
1	244	10.3%
5	140	5.9%
4	15	0.6%
6	8	0.3%
3	3	0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
:	393	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	262	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	131	100.0%

Math Symbol

Value	Count	Frequency (%)
+	131	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3144	96.0%
Latin	131	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1344	42.7%
2	601	19.1%
:	393	12.5%
-	262	8.3%
1	244	7.8%
5	140	4.5%
+	131	4.2%
4	15	0.5%
6	8	0.3%
3	3	0.1%
Other values (3)	3	0.1%

Latin

Value	Count	Frequency (%)
T	131	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3275	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1344	41.0%
2	601	18.4%
:	393	12.0%
-	262	8.0%
1	244	7.5%
5	140	4.3%
T	131	4.0%
+	131	4.0%
4	15	0.5%
6	8	0.2%
Other values (4)	6	0.2%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	38.4%
Missing	19
Missing (%)	14.5%
Infinite	0
Infinite (%)	0.0%
Mean	30.3125

Minimum	1
Maximum	73
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	5.55
Q1	17
median	29.5
Q3	45
95-th percentile	60.45
Maximum	73
Range	72
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	17.68953029
Coefficient of variation (CV)	0.5835721334
Kurtosis	-1.040934551
Mean	30.3125
Median Absolute Deviation (MAD)	15.5
Skewness	0.1711345582
Sum	3395
Variance	312.919482
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
45	21	16.0%
7	7	5.3%
20	6	4.6%
30	5	3.8%
38	5	3.8%
17	5	3.8%
21	5	3.8%
19	4	3.1%
50	3	2.3%
8	3	2.3%
Other values (33)	48	36.6%
(Missing)	19	14.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.8%
4	3	2.3%
5	2	1.5%
6	2	1.5%
7	7	5.3%
8	3	2.3%
9	2	1.5%
10	3	2.3%
11	1	0.8%
14	1	0.8%

Value	Count	Frequency (%)
73	1	0.8%
64	1	0.8%
62	1	0.8%
61	3	2.3%
60	1	0.8%
58	1	0.8%
57	2	1.5%
55	1	0.8%
53	1	0.8%
50	3	2.3%

image
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	52
Distinct (%)	100.0%
Missing	79
Missing (%)	60.3%
Memory size	1.1 KiB

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726553.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726553.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732462.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732462.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726629.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726629.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729312.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729312.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/727232.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/727232.jpg'}	1
Other values (47)	47

Length

Max length	176
Median length	176
Mean length	176
Min length	176

Characters and Unicode

Total characters	9152
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/353/883109.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/353/883109.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/393/983022.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/393/983022.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/393/983023.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/393/983023.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/295/738238.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/295/738238.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/714188.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/714188.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726553.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726553.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732462.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732462.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726629.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726629.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729312.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729312.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/727232.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/727232.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/728783.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/728783.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727777.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727777.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/293/732804.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/293/732804.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726584.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726584.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726632.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726632.jpg'}	1	0.8%
Other values (42)	42	32.1%
(Missing)	79	60.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	52	25.0%
original	52	25.0%
https://static.tvmaze.com/uploads/images/original_untouched/290/726879.jpg	1	0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726610.jpg	1	0.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726884.jpg	1	0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726884.jpg	1	0.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726883.jpg	1	0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726883.jpg	1	0.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726882.jpg	1	0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726882.jpg	1	0.5%
Other values (96)	96	46.2%

Most occurring characters

Value	Count	Frequency (%)
/	728	8.0%
a	624	6.8%
t	572	6.2%
m	520	5.7%
i	520	5.7%
s	468	5.1%
e	416	4.5%
'	416	4.5%
o	364	4.0%
p	364	4.0%
Other values (28)	4160	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6136	67.0%
Other Punctuation	1716	18.8%
Decimal Number	936	10.2%
Space Separator	156	1.7%
Connector Punctuation	104	1.1%
Close Punctuation	52	0.6%
Open Punctuation	52	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	624	10.2%
t	572	9.3%
m	520	8.5%
i	520	8.5%
s	468	7.6%
e	416	6.8%
o	364	5.9%
p	364	5.9%
g	312	5.1%
c	312	5.1%
Other values (9)	1664	27.1%

Decimal Number

Value	Count	Frequency (%)
2	218	23.3%
7	128	13.7%
9	116	12.4%
0	90	9.6%
6	90	9.6%
5	86	9.2%
3	76	8.1%
8	68	7.3%
1	36	3.8%
4	28	3.0%

Other Punctuation

Value	Count	Frequency (%)
/	728	42.4%
'	416	24.2%
.	312	18.2%
:	208	12.1%
,	52	3.0%

Space Separator

Value	Count	Frequency (%)
	156	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	104	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	52	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	52	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6136	67.0%
Common	3016	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	728	24.1%
'	416	13.8%
.	312	10.3%
2	218	7.2%
:	208	6.9%
	156	5.2%
7	128	4.2%
9	116	3.8%
_	104	3.4%
0	90	3.0%
Other values (9)	540	17.9%

Latin

Value	Count	Frequency (%)
a	624	10.2%
t	572	9.3%
m	520	8.5%
i	520	8.5%
s	468	7.6%
e	416	6.8%
o	364	5.9%
p	364	5.9%
g	312	5.1%
c	312	5.1%
Other values (9)	1664	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9152	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	728	8.0%
a	624	6.8%
t	572	6.2%
m	520	5.7%
i	520	5.7%
s	468	5.1%
e	416	4.5%
'	416	4.5%
o	364	4.0%
p	364	4.0%
Other values (28)	4160	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	44
Distinct (%)	33.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	88
<p>Randi stubbornly claims that she did not throw Jeanette's Christmas decorations. Bitten doubts the Christmas mood, while August gets barracks fever.</p>	1
<p>Wade decides to take a vacation after breaking up with his boyfriend Eric. His mother Vivian also arrives in their vacation house as she too is brokenhearted. As they try to rearrange and clean up to ‘'move on," Wade stumbles upon a letter written by a Jose Manuel for a certain Luis. His curiosity opens up to a lot of possibilities - who is this Jose Manuel? Is this a fateful coincidence and the start of something magical?</p>	1
<p>Somebody believes that "Sex for Money" is a win-win game. Really?! What does it take for "Daw" to live her net-idol life?</p>	1
<p>When Justin tasks Fin with creating an original song to be performed in the film, Fin surprises himself and everyone else when he discovers that his new song is directly connected to one Zach had been writing but was unable to finish before he passed away. Nothing short of a miracle, the story deeply touches Justin and, especially Zach's girlfriend, Amy.</p><p> </p><p> </p>	1
Other values (39)	39

Length

Max length	673
Median length	3
Mean length	57.93129771
Min length	3

Characters and Unicode

Total characters	7589
Distinct characters	76
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	32.8%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	88	67.2%
<p>Randi stubbornly claims that she did not throw Jeanette's Christmas decorations. Bitten doubts the Christmas mood, while August gets barracks fever.</p>	1	0.8%
<p>Wade decides to take a vacation after breaking up with his boyfriend Eric. His mother Vivian also arrives in their vacation house as she too is brokenhearted. As they try to rearrange and clean up to ‘'move on," Wade stumbles upon a letter written by a Jose Manuel for a certain Luis. His curiosity opens up to a lot of possibilities - who is this Jose Manuel? Is this a fateful coincidence and the start of something magical?</p>	1	0.8%
<p>Somebody believes that "Sex for Money" is a win-win game. Really?! What does it take for "Daw" to live her net-idol life?</p>	1	0.8%
<p>When Justin tasks Fin with creating an original song to be performed in the film, Fin surprises himself and everyone else when he discovers that his new song is directly connected to one Zach had been writing but was unable to finish before he passed away. Nothing short of a miracle, the story deeply touches Justin and, especially Zach's girlfriend, Amy.</p><p> </p><p> </p>	1	0.8%
<p>Two elderly ladies from St.Petersburg, Russia, who tried to bring a park bench into a trolleybus, immediately hit the headlines and were made into a popular meme after a short video from the shoot had been posted on the Internet. The video turned out to be so absurd and topical that it became a TikTok hit instantaneously and got 100 million views on different social media. After that, it received extensive coverage on the state TV channels, and the main characters of the story became household names all over Russia. The enormous country kept wondering who the women were, why they needed that bench, what was going on, and if that was fake news or not. <br /> </p>	1	0.8%
<p>Super 7 can be traced back to the magazine born out of owner Brian Flynn's love of collecting Kaiju toys. Since then, it's grown into not only a retailer of collectibles & apparel, but also as a producer of esoteric & imaginative products.</p>	1	0.8%
<p>Located in the former Fireplace Shanty of Mays Landing New Jersey is a "Museum of Memories" as Justin and Penelope Daniels like to call it. We know it as Farpoint Toys, one of the most beloved toy stores in America.</p>	1	0.8%
<p>Batcave Comics & Toys owners Mike Holbrook & Amanda Barlow share more than just their namesake with the caped crusader, they're both do-gooders in their own right; such as donating comics to local youth charities while under quarantine.</p>	1	0.8%
<p>Down in Kokomo...Indiana, Todd & Amber Jordan have built one of the most impressive toy stores you'll ever see. With row upon row of exclusives & rarities, Kokomo Toys & Collectibles is the cornerstone of what's become known as "Geek St."</p>	1	0.8%
Other values (34)	34	26.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	88	6.8%
the	59	4.6%
to	36	2.8%
a	34	2.6%
and	30	2.3%
of	26	2.0%
in	17	1.3%
for	15	1.2%
p	14	1.1%
is	13	1.0%
Other values (671)	953	74.2%

Most occurring characters

Value	Count	Frequency (%)
	1138	15.0%
e	693	9.1%
n	557	7.3%
a	547	7.2%
t	447	5.9%
o	417	5.5%
s	395	5.2%
i	390	5.1%
r	354	4.7%
h	269	3.5%
Other values (66)	2382	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5706	75.2%
Space Separator	1154	15.2%
Other Punctuation	251	3.3%
Uppercase Letter	230	3.0%
Math Symbol	224	3.0%
Decimal Number	13	0.2%
Dash Punctuation	10	0.1%
Initial Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	693	12.1%
n	557	9.8%
a	547	9.6%
t	447	7.8%
o	417	7.3%
s	395	6.9%
i	390	6.8%
r	354	6.2%
h	269	4.7%
p	209	3.7%
Other values (19)	1428	25.0%

Uppercase Letter

Value	Count	Frequency (%)
S	25	10.9%
T	19	8.3%
B	18	7.8%
A	17	7.4%
D	15	6.5%
M	15	6.5%
C	15	6.5%
J	13	5.7%
L	11	4.8%
I	11	4.8%
Other values (13)	71	30.9%

Other Punctuation

Value	Count	Frequency (%)
.	74	29.5%
/	61	24.3%
,	52	20.7%
'	24	9.6%
;	11	4.4%
"	9	3.6%
&	9	3.6%
?	8	3.2%
!	2	0.8%
…	1	0.4%

Decimal Number

Value	Count	Frequency (%)
1	5	38.5%
0	2	15.4%
9	2	15.4%
2	1	7.7%
5	1	7.7%
7	1	7.7%
4	1	7.7%

Space Separator

Value	Count	Frequency (%)
	1138	98.6%
	16	1.4%

Math Symbol

Value	Count	Frequency (%)
<	112	50.0%
>	112	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	80.0%
—	2	20.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5936	78.2%
Common	1653	21.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	693	11.7%
n	557	9.4%
a	547	9.2%
t	447	7.5%
o	417	7.0%
s	395	6.7%
i	390	6.6%
r	354	6.0%
h	269	4.5%
p	209	3.5%
Other values (42)	1658	27.9%

Common

Value	Count	Frequency (%)
	1138	68.8%
<	112	6.8%
>	112	6.8%
.	74	4.5%
/	61	3.7%
,	52	3.1%
'	24	1.5%
	16	1.0%
;	11	0.7%
"	9	0.5%
Other values (14)	44	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7564	99.7%
None	21	0.3%
Punctuation	4	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1138	15.0%
e	693	9.2%
n	557	7.4%
a	547	7.2%
t	447	5.9%
o	417	5.5%
s	395	5.2%
i	390	5.2%
r	354	4.7%
h	269	3.6%
Other values (59)	2357	31.2%

None

Value	Count	Frequency (%)
	16	76.2%
ö	2	9.5%
å	2	9.5%
ä	1	4.8%

Punctuation

Value	Count	Frequency (%)
—	2	50.0%
‘	1	25.0%
…	1	25.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	76
Distinct (%)	58.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48703.38931

Minimum	7847
Maximum	61909
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	7847
5-th percentile	14055
Q1	46028.5
median	52412
Q3	54665
95-th percentile	60949
Maximum	61909
Range	54062
Interquartile range (IQR)	8636.5

Descriptive statistics

Standard deviation	11919.26721
Coefficient of variation (CV)	0.2447317811
Kurtosis	2.987220971
Mean	48703.38931
Median Absolute Deviation (MAD)	4124
Skewness	-1.816805347
Sum	6380144
Variance	142068930.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59579	13	9.9%
42966	8	6.1%
14055	7	5.3%
52372	6	4.6%
60949	5	3.8%
32611	4	3.1%
52451	4	3.1%
57029	3	2.3%
51971	3	2.3%
61909	3	2.3%
Other values (66)	75	57.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7847	1	0.8%
14055	7	5.3%
19111	1	0.8%
20734	1	0.8%
30606	1	0.8%
32611	4	3.1%
35420	1	0.8%
38171	1	0.8%
38199	1	0.8%
41490	2	1.5%

Value	Count	Frequency (%)
61909	3	2.3%
60949	5	3.8%
60809	1	0.8%
59676	1	0.8%
59579	13	9.9%
58367	1	0.8%
57385	1	0.8%
57029	3	2.3%
56433	1	0.8%
55403	1	0.8%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	76
Distinct (%)	58.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://www.tvmaze.com/shows/59579/filly-funtasia	13
https://www.tvmaze.com/shows/42966/bridgerton	8
https://www.tvmaze.com/shows/14055/letterkenny	7
https://www.tvmaze.com/shows/52372/ida-og-martin-pa-notholmen	6
https://www.tvmaze.com/shows/60949/a-toy-store-near-you	5
Other values (71)	92

Length

Max length	68
Median length	62
Mean length	50.11450382
Min length	39

Characters and Unicode

Total characters	6565
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	43.5%

Sample

1st row	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar
2nd row	https://www.tvmaze.com/shows/38199/fiksiki
3rd row	https://www.tvmaze.com/shows/48288/roast-battle-labelcom
4th row	https://www.tvmaze.com/shows/49280/psih
5th row	https://www.tvmaze.com/shows/52520/muzskaa-tema

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/59579/filly-funtasia	13	9.9%
https://www.tvmaze.com/shows/42966/bridgerton	8	6.1%
https://www.tvmaze.com/shows/14055/letterkenny	7	5.3%
https://www.tvmaze.com/shows/52372/ida-og-martin-pa-notholmen	6	4.6%
https://www.tvmaze.com/shows/60949/a-toy-store-near-you	5	3.8%
https://www.tvmaze.com/shows/32611/var-tid-ar-nu	4	3.1%
https://www.tvmaze.com/shows/52451/the-burning-river	4	3.1%
https://www.tvmaze.com/shows/57029/bablo	3	2.3%
https://www.tvmaze.com/shows/51971/wish-you	3	2.3%
https://www.tvmaze.com/shows/61909/mighty-little-bheem-kite-festival	3	2.3%
Other values (66)	75	57.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/59579/filly-funtasia	13	9.9%
https://www.tvmaze.com/shows/42966/bridgerton	8	6.1%
https://www.tvmaze.com/shows/14055/letterkenny	7	5.3%
https://www.tvmaze.com/shows/52372/ida-og-martin-pa-notholmen	6	4.6%
https://www.tvmaze.com/shows/60949/a-toy-store-near-you	5	3.8%
https://www.tvmaze.com/shows/32611/var-tid-ar-nu	4	3.1%
https://www.tvmaze.com/shows/52451/the-burning-river	4	3.1%
https://www.tvmaze.com/shows/57029/bablo	3	2.3%
https://www.tvmaze.com/shows/51971/wish-you	3	2.3%
https://www.tvmaze.com/shows/61909/mighty-little-bheem-kite-festival	3	2.3%
Other values (66)	75	57.3%

Most occurring characters

Value	Count	Frequency (%)
/	655	10.0%
w	539	8.2%
t	539	8.2%
s	476	7.3%
o	389	5.9%
m	325	5.0%
e	319	4.9%
h	313	4.8%
a	281	4.3%
.	262	4.0%
Other values (30)	2467	37.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4648	70.8%
Other Punctuation	1048	16.0%
Decimal Number	656	10.0%
Dash Punctuation	213	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	539	11.6%
t	539	11.6%
s	476	10.2%
o	389	8.4%
m	325	7.0%
e	319	6.9%
h	313	6.7%
a	281	6.0%
p	159	3.4%
c	157	3.4%
Other values (16)	1151	24.8%

Decimal Number

Value	Count	Frequency (%)
5	135	20.6%
2	81	12.3%
9	80	12.2%
4	74	11.3%
1	68	10.4%
6	58	8.8%
7	54	8.2%
0	47	7.2%
3	31	4.7%
8	28	4.3%

Other Punctuation

Value	Count	Frequency (%)
/	655	62.5%
.	262	25.0%
:	131	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	213	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4648	70.8%
Common	1917	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	539	11.6%
t	539	11.6%
s	476	10.2%
o	389	8.4%
m	325	7.0%
e	319	6.9%
h	313	6.7%
a	281	6.0%
p	159	3.4%
c	157	3.4%
Other values (16)	1151	24.8%

Common

Value	Count	Frequency (%)
/	655	34.2%
.	262	13.7%
-	213	11.1%
5	135	7.0%
:	131	6.8%
2	81	4.2%
9	80	4.2%
4	74	3.9%
1	68	3.5%
6	58	3.0%
Other values (4)	160	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6565	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	655	10.0%
w	539	8.2%
t	539	8.2%
s	476	7.3%
o	389	5.9%
m	325	5.0%
e	319	4.9%
h	313	4.8%
a	281	4.3%
.	262	4.0%
Other values (30)	2467	37.6%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	76
Distinct (%)	58.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Filly Funtasia	13
Bridgerton	8
Letterkenny	7
Ida og Martin på Notholmen	6
A Toy Store Near You	5
Other values (71)	92

Length

Max length	34
Median length	23
Mean length	15.19847328
Min length	4

Characters and Unicode

Total characters	1991
Distinct characters	91
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	43.5%

Sample

1st row	По сезону. Видеодайджест Seasonvar
2nd row	Фиксики
3rd row	Roast Battle Labelcom
4th row	Псих
5th row	Мужская тема

Common Values

Value	Count	Frequency (%)
Filly Funtasia	13	9.9%
Bridgerton	8	6.1%
Letterkenny	7	5.3%
Ida og Martin på Notholmen	6	4.6%
A Toy Store Near You	5	3.8%
Vår tid är nu	4	3.1%
The Burning River	4	3.1%
Bablo	3	2.3%
Wish You	3	2.3%
Mighty Little Bheem: Kite Festival	3	2.3%
Other values (66)	75	57.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	15	4.4%
funtasia	13	3.8%
filly	13	3.8%
you	10	2.9%
bridgerton	8	2.3%
a	8	2.3%
letterkenny	7	2.0%
ida	6	1.8%
og	6	1.8%
martin	6	1.8%
Other values (166)	250	73.1%

Most occurring characters

Value	Count	Frequency (%)
	211	10.6%
e	178	8.9%
n	121	6.1%
t	121	6.1%
i	120	6.0%
o	118	5.9%
a	112	5.6%
r	95	4.8%
l	79	4.0%
u	55	2.8%
Other values (81)	781	39.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1455	73.1%
Uppercase Letter	311	15.6%
Space Separator	211	10.6%
Other Punctuation	10	0.5%
Dash Punctuation	2	0.1%
Decimal Number	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	178	12.2%
n	121	8.3%
t	121	8.3%
i	120	8.2%
o	118	8.1%
a	112	7.7%
r	95	6.5%
l	79	5.4%
u	55	3.8%
s	55	3.8%
Other values (36)	401	27.6%

Uppercase Letter

Value	Count	Frequency (%)
F	35	11.3%
L	30	9.6%
M	25	8.0%
T	22	7.1%
B	20	6.4%
S	20	6.4%
N	15	4.8%
R	14	4.5%
Y	12	3.9%
A	11	3.5%
Other values (29)	107	34.4%

Other Punctuation

Value	Count	Frequency (%)
:	8	80.0%
.	1	10.0%
,	1	10.0%

Space Separator

Value	Count	Frequency (%)
	211	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Decimal Number

Value	Count	Frequency (%)
2	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1683	84.5%
Common	225	11.3%
Cyrillic	83	4.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	178	10.6%
n	121	7.2%
t	121	7.2%
i	120	7.1%
o	118	7.0%
a	112	6.7%
r	95	5.6%
l	79	4.7%
u	55	3.3%
s	55	3.3%
Other values (44)	629	37.4%

Cyrillic

Value	Count	Frequency (%)
а	10	12.0%
и	8	9.6%
е	7	8.4%
к	7	8.4%
с	7	8.4%
д	6	7.2%
о	4	4.8%
П	3	3.6%
р	3	3.6%
т	2	2.4%
Other values (21)	26	31.3%

Common

Value	Count	Frequency (%)
	211	93.8%
:	8	3.6%
-	2	0.9%
2	2	0.9%
.	1	0.4%
,	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1892	95.0%
Cyrillic	83	4.2%
None	16	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	211	11.2%
e	178	9.4%
n	121	6.4%
t	121	6.4%
i	120	6.3%
o	118	6.2%
a	112	5.9%
r	95	5.0%
l	79	4.2%
u	55	2.9%
Other values (47)	682	36.0%

None

Value	Count	Frequency (%)
å	10	62.5%
ä	5	31.2%
é	1	6.2%

Cyrillic

Value	Count	Frequency (%)
а	10	12.0%
и	8	9.6%
е	7	8.4%
к	7	8.4%
с	7	8.4%
д	6	7.2%
о	4	4.8%
П	3	3.6%
р	3	3.6%
т	2	2.4%
Other values (21)	26	31.3%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Scripted	75
Animation	25
Documentary	21
Talk Show	3
Game Show	2
Other values (3)	5

Length

Max length	11
Median length	8
Mean length	8.664122137
Min length	6

Characters and Unicode

Total characters	1135
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	Talk Show
2nd row	Animation
3rd row	Game Show
4th row	Scripted
5th row	Talk Show

Common Values

Value	Count	Frequency (%)
Scripted	75	57.3%
Animation	25	19.1%
Documentary	21	16.0%
Talk Show	3	2.3%
Game Show	2	1.5%
Variety	2	1.5%
Reality	2	1.5%
Sports	1	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	75	55.1%
animation	25	18.4%
documentary	21	15.4%
show	5	3.7%
talk	3	2.2%
game	2	1.5%
variety	2	1.5%
reality	2	1.5%
sports	1	0.7%

Most occurring characters

Value	Count	Frequency (%)
i	129	11.4%
t	126	11.1%
e	102	9.0%
r	99	8.7%
c	96	8.5%
S	81	7.1%
p	76	6.7%
d	75	6.6%
n	71	6.3%
a	55	4.8%
Other values (16)	225	19.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	994	87.6%
Uppercase Letter	136	12.0%
Space Separator	5	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	129	13.0%
t	126	12.7%
e	102	10.3%
r	99	10.0%
c	96	9.7%
p	76	7.6%
d	75	7.5%
n	71	7.1%
a	55	5.5%
o	52	5.2%
Other values (8)	113	11.4%

Uppercase Letter

Value	Count	Frequency (%)
S	81	59.6%
A	25	18.4%
D	21	15.4%
T	3	2.2%
G	2	1.5%
V	2	1.5%
R	2	1.5%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1130	99.6%
Common	5	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	129	11.4%
t	126	11.2%
e	102	9.0%
r	99	8.8%
c	96	8.5%
S	81	7.2%
p	76	6.7%
d	75	6.6%
n	71	6.3%
a	55	4.9%
Other values (15)	220	19.5%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	129	11.4%
t	126	11.1%
e	102	9.0%
r	99	8.7%
c	96	8.5%
S	81	7.1%
p	76	6.7%
d	75	6.6%
n	71	6.3%
a	55	4.8%
Other values (16)	225	19.8%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

English	45
Chinese	27
Norwegian	13
Russian	10
Korean	10
Other values (11)	26

Length

Max length	10
Median length	7
Mean length	6.908396947
Min length	3

Characters and Unicode

Total characters	905
Distinct characters	31
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	3.1%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
English	45	34.4%
Chinese	27	20.6%
Norwegian	13	9.9%
Russian	10	7.6%
Korean	10	7.6%
Swedish	4	3.1%
Thai	4	3.1%
nan	4	3.1%
Spanish	3	2.3%
Tagalog	3	2.3%
Other values (6)	8	6.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	45	34.4%
chinese	27	20.6%
norwegian	13	9.9%
russian	10	7.6%
korean	10	7.6%
swedish	4	3.1%
thai	4	3.1%
nan	4	3.1%
spanish	3	2.3%
tagalog	3	2.3%
Other values (6)	8	6.1%

Most occurring characters

Value	Count	Frequency (%)
n	121	13.4%
i	109	12.0%
s	102	11.3%
e	87	9.6%
h	85	9.4%
g	66	7.3%
a	54	6.0%
l	49	5.4%
E	45	5.0%
o	29	3.2%
Other values (21)	158	17.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	778	86.0%
Uppercase Letter	127	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	121	15.6%
i	109	14.0%
s	102	13.1%
e	87	11.2%
h	85	10.9%
g	66	8.5%
a	54	6.9%
l	49	6.3%
o	29	3.7%
r	26	3.3%
Other values (8)	50	6.4%

Uppercase Letter

Value	Count	Frequency (%)
E	45	35.4%
C	27	21.3%
N	13	10.2%
R	10	7.9%
K	10	7.9%
S	7	5.5%
T	7	5.5%
D	2	1.6%
P	2	1.6%
M	1	0.8%
Other values (3)	3	2.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	905	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	121	13.4%
i	109	12.0%
s	102	11.3%
e	87	9.6%
h	85	9.4%
g	66	7.3%
a	54	6.0%
l	49	5.4%
E	45	5.0%
o	29	3.2%
Other values (21)	158	17.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	121	13.4%
i	109	12.0%
s	102	11.3%
e	87	9.6%
h	85	9.4%
g	66	7.3%
a	54	6.0%
l	49	5.4%
E	45	5.0%
o	29	3.2%
Other values (21)	158	17.5%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	35
Distinct (%)	26.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

[]	33
['Drama', 'Romance']	19
['Comedy']	13
['Comedy', 'Children']	7
['Drama']	6
Other values (30)	53

Length

Max length	46
Median length	41
Mean length	16.29007634
Min length	2

Characters and Unicode

Total characters	2134
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	15.3%

Sample

1st row	[]
2nd row	[]
3rd row	['Comedy']
4th row	['Drama', 'Thriller']
5th row	[]

Common Values

Value	Count	Frequency (%)
[]	33	25.2%
['Drama', 'Romance']	19	14.5%
['Comedy']	13	9.9%
['Comedy', 'Children']	7	5.3%
['Drama']	6	4.6%
['Nature']	6	4.6%
['Drama', 'Romance', 'History']	4	3.1%
['Drama', 'Comedy', 'Romance']	4	3.1%
['Drama', 'Action', 'Thriller']	4	3.1%
['Drama', 'Music', 'Romance']	3	2.3%
Other values (25)	32	24.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	54	22.8%
romance	35	14.8%
comedy	35	14.8%
	33	13.9%
action	10	4.2%
history	8	3.4%
thriller	7	3.0%
fantasy	7	3.0%
crime	7	3.0%
children	7	3.0%
Other values (13)	34	14.3%

Most occurring characters

Value	Count	Frequency (%)
'	408	19.1%
a	174	8.2%
m	140	6.6%
[	131	6.1%
]	131	6.1%
e	116	5.4%
r	113	5.3%
,	106	5.0%
	106	5.0%
o	95	4.5%
Other values (25)	614	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1046	49.0%
Other Punctuation	514	24.1%
Uppercase Letter	206	9.7%
Open Punctuation	131	6.1%
Close Punctuation	131	6.1%
Space Separator	106	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	174	16.6%
m	140	13.4%
e	116	11.1%
r	113	10.8%
o	95	9.1%
n	72	6.9%
y	55	5.3%
i	52	5.0%
c	49	4.7%
d	48	4.6%
Other values (7)	132	12.6%

Uppercase Letter

Value	Count	Frequency (%)
D	55	26.7%
C	49	23.8%
R	35	17.0%
A	20	9.7%
F	12	5.8%
H	9	4.4%
T	8	3.9%
N	6	2.9%
M	5	2.4%
S	4	1.9%
Other values (3)	3	1.5%

Other Punctuation

Value	Count	Frequency (%)
'	408	79.4%
,	106	20.6%

Open Punctuation

Value	Count	Frequency (%)
[	131	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	131	100.0%

Space Separator

Value	Count	Frequency (%)
	106	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1252	58.7%
Common	882	41.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	174	13.9%
m	140	11.2%
e	116	9.3%
r	113	9.0%
o	95	7.6%
n	72	5.8%
y	55	4.4%
D	55	4.4%
i	52	4.2%
c	49	3.9%
Other values (20)	331	26.4%

Common

Value	Count	Frequency (%)
'	408	46.3%
[	131	14.9%
]	131	14.9%
,	106	12.0%
	106	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2134	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	408	19.1%
a	174	8.2%
m	140	6.6%
[	131	6.1%
]	131	6.1%
e	116	5.4%
r	113	5.3%
,	106	5.0%
	106	5.0%
o	95	4.5%
Other values (25)	614	28.8%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Running	72
Ended	38
To Be Determined	21

Length

Max length	16
Median length	7
Mean length	7.86259542
Min length	5

Characters and Unicode

Total characters	1030
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Running
3rd row	Running
4th row	Ended
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	72	55.0%
Ended	38	29.0%
To Be Determined	21	16.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	72	41.6%
ended	38	22.0%
to	21	12.1%
be	21	12.1%
determined	21	12.1%

Most occurring characters

Value	Count	Frequency (%)
n	275	26.7%
e	122	11.8%
d	97	9.4%
i	93	9.0%
R	72	7.0%
u	72	7.0%
g	72	7.0%
	42	4.1%
E	38	3.7%
T	21	2.0%
Other values (6)	126	12.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	815	79.1%
Uppercase Letter	173	16.8%
Space Separator	42	4.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	275	33.7%
e	122	15.0%
d	97	11.9%
i	93	11.4%
u	72	8.8%
g	72	8.8%
o	21	2.6%
t	21	2.6%
r	21	2.6%
m	21	2.6%

Uppercase Letter

Value	Count	Frequency (%)
R	72	41.6%
E	38	22.0%
T	21	12.1%
B	21	12.1%
D	21	12.1%

Space Separator

Value	Count	Frequency (%)
	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	988	95.9%
Common	42	4.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	275	27.8%
e	122	12.3%
d	97	9.8%
i	93	9.4%
R	72	7.3%
u	72	7.3%
g	72	7.3%
E	38	3.8%
T	21	2.1%
o	21	2.1%
Other values (5)	105	10.6%

Common

Value	Count	Frequency (%)
	42	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1030	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	275	26.7%
e	122	11.8%
d	97	9.4%
i	93	9.0%
R	72	7.0%
u	72	7.0%
g	72	7.0%
	42	4.1%
E	38	3.7%
T	21	2.0%
Other values (6)	126	12.2%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	30.0%
Missing	61
Missing (%)	46.6%
Infinite	0
Infinite (%)	0.0%
Mean	30.7

Minimum	1
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	15
median	38
Q3	45
95-th percentile	50
Maximum	62
Range	61
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	16.44873459
Coefficient of variation (CV)	0.5357894003
Kurtosis	-1.288706947
Mean	30.7
Median Absolute Deviation (MAD)	11
Skewness	-0.2607124701
Sum	2149
Variance	270.5608696
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
45	19	14.5%
10	8	6.1%
40	7	5.3%
30	5	3.8%
20	5	3.8%
50	4	3.1%
38	3	2.3%
25	3	2.3%
5	2	1.5%
4	2	1.5%
Other values (11)	12	9.2%
(Missing)	61	46.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.8%
4	2	1.5%
5	2	1.5%
6	1	0.8%
7	1	0.8%
9	1	0.8%
10	8	6.1%
14	1	0.8%
15	2	1.5%
17	1	0.8%

Value	Count	Frequency (%)
62	1	0.8%
60	1	0.8%
50	4	3.1%
48	1	0.8%
45	19	14.5%
40	7	5.3%
38	3	2.3%
30	5	3.8%
25	3	2.3%
23	1	0.8%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	29.8%
Missing	17
Missing (%)	13.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.57894737

Minimum	1
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	14.25
median	26.5
Q3	45
95-th percentile	62
Maximum	62
Range	61
Interquartile range (IQR)	30.75

Descriptive statistics

Standard deviation	17.98863689
Coefficient of variation (CV)	0.5882686764
Kurtosis	-1.156131007
Mean	30.57894737
Median Absolute Deviation (MAD)	16.5
Skewness	0.2119633983
Sum	3486
Variance	323.5910573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
45	19	14.5%
24	9	6.9%
62	9	6.9%
20	7	5.3%
38	7	5.3%
30	5	3.8%
7	5	3.8%
58	4	3.1%
10	4	3.1%
50	3	2.3%
Other values (24)	42	32.1%
(Missing)	17	13.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.8%
4	2	1.5%
5	2	1.5%
6	2	1.5%
7	5	3.8%
8	3	2.3%
9	2	1.5%
10	4	3.1%
11	3	2.3%
12	3	2.3%

Value	Count	Frequency (%)
62	9	6.9%
60	1	0.8%
58	4	3.1%
54	1	0.8%
50	3	2.3%
48	1	0.8%
46	1	0.8%
45	19	14.5%
42	2	1.5%
40	1	0.8%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	58
Distinct (%)	44.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-25	19
2019-03-11	13
2020-12-04	9
2016-02-07	7
2020-12-11	6
Other values (53)	77

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1310
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	31.3%

Sample

1st row	2015-02-13
2nd row	2010-12-13
3rd row	2019-12-24
4th row	2020-11-05
5th row	2020-12-17

Common Values

Value	Count	Frequency (%)
2020-12-25	19	14.5%
2019-03-11	13	9.9%
2020-12-04	9	6.9%
2016-02-07	7	5.3%
2020-12-11	6	4.6%
2020-05-29	5	3.8%
2017-10-02	4	3.1%
2020-12-21	4	3.1%
2020-12-24	4	3.1%
2019-01-17	3	2.3%
Other values (48)	57	43.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-25	19	14.5%
2019-03-11	13	9.9%
2020-12-04	9	6.9%
2016-02-07	7	5.3%
2020-12-11	6	4.6%
2020-05-29	5	3.8%
2017-10-02	4	3.1%
2020-12-21	4	3.1%
2020-12-24	4	3.1%
2019-01-17	3	2.3%
Other values (48)	57	43.5%

Most occurring characters

Value	Count	Frequency (%)
2	339	25.9%
0	319	24.4%
-	262	20.0%
1	220	16.8%
9	39	3.0%
5	34	2.6%
4	26	2.0%
7	24	1.8%
3	21	1.6%
6	17	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1048	80.0%
Dash Punctuation	262	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	339	32.3%
0	319	30.4%
1	220	21.0%
9	39	3.7%
5	34	3.2%
4	26	2.5%
7	24	2.3%
3	21	2.0%
6	17	1.6%
8	9	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	262	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1310	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	339	25.9%
0	319	24.4%
-	262	20.0%
1	220	16.8%
9	39	3.0%
5	34	2.6%
4	26	2.0%
7	24	1.8%
3	21	1.6%
6	17	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	339	25.9%
0	319	24.4%
-	262	20.0%
1	220	16.8%
9	39	3.0%
5	34	2.6%
4	26	2.0%
7	24	1.8%
3	21	1.6%
6	17	1.3%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	16.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	93
2020-12-25	10
2021-01-07	2
2021-01-04	2
2021-01-02	2
Other values (17)	22

Length

Max length	10
Median length	3
Mean length	5.030534351
Min length	3

Characters and Unicode

Total characters	659
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	9.2%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	2020-12-24
5th row	2020-12-25

Common Values

Value	Count	Frequency (%)
nan	93	71.0%
2020-12-25	10	7.6%
2021-01-07	2	1.5%
2021-01-04	2	1.5%
2021-01-02	2	1.5%
2021-01-28	2	1.5%
2020-12-31	2	1.5%
2021-03-12	2	1.5%
2021-01-14	2	1.5%
2021-01-29	2	1.5%
Other values (12)	12	9.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	93	71.0%
2020-12-25	10	7.6%
2021-01-07	2	1.5%
2021-01-04	2	1.5%
2021-01-02	2	1.5%
2021-01-28	2	1.5%
2020-12-31	2	1.5%
2021-03-12	2	1.5%
2021-01-14	2	1.5%
2021-01-29	2	1.5%
Other values (12)	12	9.2%

Most occurring characters

Value	Count	Frequency (%)
n	186	28.2%
2	117	17.8%
a	93	14.1%
0	88	13.4%
-	76	11.5%
1	65	9.9%
5	13	2.0%
4	5	0.8%
8	4	0.6%
3	4	0.6%
Other values (3)	8	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	304	46.1%
Lowercase Letter	279	42.3%
Dash Punctuation	76	11.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	117	38.5%
0	88	28.9%
1	65	21.4%
5	13	4.3%
4	5	1.6%
8	4	1.3%
3	4	1.3%
9	3	1.0%
6	3	1.0%
7	2	0.7%

Lowercase Letter

Value	Count	Frequency (%)
n	186	66.7%
a	93	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	76	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	380	57.7%
Latin	279	42.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	117	30.8%
0	88	23.2%
-	76	20.0%
1	65	17.1%
5	13	3.4%
4	5	1.3%
8	4	1.1%
3	4	1.1%
9	3	0.8%
6	3	0.8%

Latin

Value	Count	Frequency (%)
n	186	66.7%
a	93	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	659	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	186	28.2%
2	117	17.8%
a	93	14.1%
0	88	13.4%
-	76	11.5%
1	65	9.9%
5	13	2.0%
4	5	0.8%
8	4	0.6%
3	4	0.6%
Other values (3)	8	1.2%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	66
Distinct (%)	50.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	27
https://www.netflix.com/title/80232398	8
https://www.crave.ca/tv-shows/letterkenny	7
https://tv.nrk.no/serie/ida-og-martin-paa-notholmen	6
https://www.amazon.com/gp/video/detail/B0891S22PR/	5
Other values (61)	78

Length

Max length	250
Median length	78
Mean length	41.47328244
Min length	3

Characters and Unicode

Total characters	5433
Distinct characters	75
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	38.9%

Sample

1st row	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html
2nd row	http://www.fixiki.ru
3rd row	https://www.youtube.com/playlist?list=PLmkbS48df311cZnmhlV-5q5vY0icLXdl3
4th row	https://more.tv/psih
5th row	https://www.ivi.ru/watch/muzhskaya-tema

Common Values

Value	Count	Frequency (%)
nan	27	20.6%
https://www.netflix.com/title/80232398	8	6.1%
https://www.crave.ca/tv-shows/letterkenny	7	5.3%
https://tv.nrk.no/serie/ida-og-martin-paa-notholmen	6	4.6%
https://www.amazon.com/gp/video/detail/B0891S22PR/	5	3.8%
https://v.youku.com/v_show/id_XNDk1MzY2NzgwNA==.html?spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=aaed627feea749d7a99d	4	3.1%
https://www.svtplay.se/var-tid-ar-nu	4	3.1%
https://www.viki.com/tv/37486c-wish-you	3	2.3%
https://tv.nrk.no/serie/bablo	3	2.3%
https://www.netflix.com/title/81273728	3	2.3%
Other values (56)	61	46.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	27	20.6%
https://www.netflix.com/title/80232398	8	6.1%
https://www.crave.ca/tv-shows/letterkenny	7	5.3%
https://tv.nrk.no/serie/ida-og-martin-paa-notholmen	6	4.6%
https://www.amazon.com/gp/video/detail/b0891s22pr	5	3.8%
https://v.youku.com/v_show/id_xndk1mzy2nzgwna==.html?spm=a2h0c.8166622.phonesokuprogram_1.dtitle&s=aaed627feea749d7a99d	4	3.1%
https://www.svtplay.se/var-tid-ar-nu	4	3.1%
https://www.viki.com/tv/37486c-wish-you	3	2.3%
https://tv.nrk.no/serie/bablo	3	2.3%
https://www.netflix.com/title/81273728	3	2.3%
Other values (56)	61	46.6%

Most occurring characters

Value	Count	Frequency (%)
/	421	7.7%
t	413	7.6%
w	244	4.5%
s	237	4.4%
.	225	4.1%
e	224	4.1%
a	223	4.1%
o	215	4.0%
i	210	3.9%
h	185	3.4%
Other values (65)	2836	52.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3491	64.3%
Other Punctuation	830	15.3%
Decimal Number	660	12.1%
Uppercase Letter	288	5.3%
Dash Punctuation	91	1.7%
Math Symbol	39	0.7%
Connector Punctuation	34	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	413	11.8%
w	244	7.0%
s	237	6.8%
e	224	6.4%
a	223	6.4%
o	215	6.2%
i	210	6.0%
h	185	5.3%
n	185	5.3%
p	170	4.9%
Other values (16)	1185	33.9%

Uppercase Letter

Value	Count	Frequency (%)
P	30	10.4%
A	20	6.9%
S	20	6.9%
N	19	6.6%
B	19	6.6%
E	16	5.6%
L	15	5.2%
D	14	4.9%
C	14	4.9%
R	14	4.9%
Other values (16)	107	37.2%

Decimal Number

Value	Count	Frequency (%)
1	89	13.5%
2	88	13.3%
8	72	10.9%
0	70	10.6%
9	69	10.5%
3	61	9.2%
6	57	8.6%
7	56	8.5%
4	54	8.2%
5	44	6.7%

Other Punctuation

Value	Count	Frequency (%)
/	421	50.7%
.	225	27.1%
:	122	14.7%
%	33	4.0%
?	18	2.2%
&	9	1.1%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	36	92.3%
+	2	5.1%
~	1	2.6%

Dash Punctuation

Value	Count	Frequency (%)
-	91	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3779	69.6%
Common	1654	30.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	413	10.9%
w	244	6.5%
s	237	6.3%
e	224	5.9%
a	223	5.9%
o	215	5.7%
i	210	5.6%
h	185	4.9%
n	185	4.9%
p	170	4.5%
Other values (42)	1473	39.0%

Common

Value	Count	Frequency (%)
/	421	25.5%
.	225	13.6%
:	122	7.4%
-	91	5.5%
1	89	5.4%
2	88	5.3%
8	72	4.4%
0	70	4.2%
9	69	4.2%
3	61	3.7%
Other values (13)	346	20.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5433	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	421	7.7%
t	413	7.6%
w	244	4.5%
s	237	4.4%
.	225	4.1%
e	224	4.1%
a	223	4.1%
o	215	4.0%
i	210	3.9%
h	185	3.4%
Other values (65)	2836	52.2%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	45
Distinct (%)	34.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.5648855

Minimum	0
Maximum	98
Zeros	5
Zeros (%)	3.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	8
median	29
Q3	64.5
95-th percentile	98
Maximum	98
Range	98
Interquartile range (IQR)	56.5

Descriptive statistics

Standard deviation	31.70030314
Coefficient of variation (CV)	0.821999151
Kurtosis	-0.8936897417
Mean	38.5648855
Median Absolute Deviation (MAD)	21
Skewness	0.6244353662
Sum	5052
Variance	1004.909219
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
8	15	11.5%
24	9	6.9%
98	8	6.1%
3	8	6.1%
97	7	5.3%
18	6	4.6%
0	5	3.8%
17	5	3.8%
44	4	3.1%
15	4	3.1%
Other values (35)	60	45.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	3.8%
1	2	1.5%
3	8	6.1%
5	1	0.8%
6	2	1.5%
7	1	0.8%
8	15	11.5%
10	1	0.8%
14	1	0.8%
15	4	3.1%

Value	Count	Frequency (%)
98	8	6.1%
97	7	5.3%
96	1	0.8%
88	1	0.8%
83	1	0.8%
79	2	1.5%
78	1	0.8%
75	1	0.8%
71	1	0.8%
69	4	3.1%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	130
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}	1

Length

Max length	74
Median length	3
Mean length	3.541984733
Min length	3

Characters and Unicode

Total characters	464
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	130	99.2%
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}	1	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	130	94.9%
name	1	0.7%
russian	1	0.7%
federation	1	0.7%
code	1	0.7%
ru	1	0.7%
timezone	1	0.7%
asia/kamchatka	1	0.7%

Most occurring characters

Value	Count	Frequency (%)
n	264	56.9%
a	137	29.5%
'	12	2.6%
e	6	1.3%
	6	1.3%
i	4	0.9%
m	3	0.6%
:	3	0.6%
o	3	0.6%
s	3	0.6%
Other values (17)	23	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	432	93.1%
Other Punctuation	18	3.9%
Space Separator	6	1.3%
Uppercase Letter	6	1.3%
Open Punctuation	1	0.2%
Close Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	264	61.1%
a	137	31.7%
e	6	1.4%
i	4	0.9%
m	3	0.7%
o	3	0.7%
s	3	0.7%
t	3	0.7%
c	2	0.5%
d	2	0.5%
Other values (5)	5	1.2%

Uppercase Letter

Value	Count	Frequency (%)
R	2	33.3%
F	1	16.7%
U	1	16.7%
A	1	16.7%
K	1	16.7%

Other Punctuation

Value	Count	Frequency (%)
'	12	66.7%
:	3	16.7%
,	2	11.1%
/	1	5.6%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	438	94.4%
Common	26	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	264	60.3%
a	137	31.3%
e	6	1.4%
i	4	0.9%
m	3	0.7%
o	3	0.7%
s	3	0.7%
t	3	0.7%
c	2	0.5%
d	2	0.5%
Other values (10)	11	2.5%

Common

Value	Count	Frequency (%)
'	12	46.2%
	6	23.1%
:	3	11.5%
,	2	7.7%
{	1	3.8%
/	1	3.8%
}	1	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	464	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	264	56.9%
a	137	29.5%
'	12	2.6%
e	6	1.3%
	6	1.3%
i	4	0.9%
m	3	0.6%
:	3	0.6%
o	3	0.6%
s	3	0.6%
Other values (17)	23	5.0%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	69
Distinct (%)	52.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	20
<p>Based on Julia Quinn's best-selling series of novels, <b>Bridgerton</b> is set in the sexy, lavish and competitive world of Regency London high society. From the glittering ballrooms of Mayfair to the aristocratic palaces of Park Lane and beyond, the series unveils a seductive, sumptuous world replete with intricate rules and dramatic power struggles, where no one is truly ever on steady ground. At the heart of the show is the powerful Bridgerton family. Comprised of eight close-knit siblings, this funny, witty, daring and clever group must navigate the upper ten thousand's marriage mart in search of romance, adventure and love.</p>	8
<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	7
<p>Ida and Martin pause city life and move to a small islet on the Romsdal coast. At Notholmen, they will explore an easier way of living.</p>	6
<p>Throughout the world, there are hundreds of independently-owned toy stores, each one as unique and endearing as the people that own them. For the loyal customers that flock to them, they're more than simply an outlet to obtain new treasures; they're a community.</p>	5
Other values (64)	85

Length

Max length	1360
Median length	705
Mean length	356.3587786
Min length	3

Characters and Unicode

Total characters	46683
Distinct characters	97
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	38.2%

Sample

1st row	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>
2nd row	nan
3rd row	<p>A bold humorous show in which comedians fight for 50,000 rubles! Six comedians will take to the stage to "fry" each other. The top two will go to the final, and only one will take the money with them!</p>
4th row	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>
5th row	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>

Common Values

Value	Count	Frequency (%)
nan	20	15.3%
<p>Based on Julia Quinn's best-selling series of novels, <b>Bridgerton</b> is set in the sexy, lavish and competitive world of Regency London high society. From the glittering ballrooms of Mayfair to the aristocratic palaces of Park Lane and beyond, the series unveils a seductive, sumptuous world replete with intricate rules and dramatic power struggles, where no one is truly ever on steady ground. At the heart of the show is the powerful Bridgerton family. Comprised of eight close-knit siblings, this funny, witty, daring and clever group must navigate the upper ten thousand's marriage mart in search of romance, adventure and love.</p>	8	6.1%
<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	7	5.3%
<p>Ida and Martin pause city life and move to a small islet on the Romsdal coast. At Notholmen, they will explore an easier way of living.</p>	6	4.6%
<p>Throughout the world, there are hundreds of independently-owned toy stores, each one as unique and endearing as the people that own them. For the loyal customers that flock to them, they're more than simply an outlet to obtain new treasures; they're a community.</p>	5	3.8%
<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>	4	3.1%
<p>The Löwander family operate one of the most prestigious restaurants in Stockholm, exploring what becomes of the establishment as a new era dawns.</p>	4	3.1%
<p>A free-spirited singer whose love of music has him performing on the streets, Kang In Soo's life revolves completely around music. Supported by his friends, In Soo hopes to someday turn his love of music into a full-time career, but doing so isn't easy. Refusing to give up on his dreams, In Soo continues busking, day in and day out, while his best friend, Choi Min Sung, records his performances and uploads them on YouTube. Little does either of them know that In Soo's performances have caught the attention of someone who could change the young musician's life forever.</p><p>A keyboardist working at a major record company, Yoon Sang Yi is always on the lookout for new talent. After stumbling upon In Soo's videos, Sang Yi has become one of the singer's biggest fans. Convinced In Soo could make it big, he recommends the young artist join his company's rookie discovery project. Seeing this opportunity in this invitation, In Soo accepts the offer and soon moves into the company residence with Sang Yi.</p><p>As the two live and work together, their relationship grows and slowly, new feelings begin to blossom. Unfortunately, as their feelings grow, so do the obstacles that stand in their way. Will In Soo and Sang Yi be able to find a way to overcome the trials before them or will their love fade before ever having a chance to fully bloom?</p>	3	2.3%
<p>With winter behind them, Bheem and his townspeople usher in a sunny new season in all their favorite ways during the Makar Sankranti festival.</p>	3	2.3%
<p>Welcome to <b>Bablo</b>, the world's best library!</p>	3	2.3%
Other values (59)	68	51.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	484	6.2%
of	274	3.5%
and	251	3.2%
a	213	2.7%
to	207	2.6%
in	163	2.1%
is	96	1.2%
with	75	1.0%
on	71	0.9%
his	71	0.9%
Other values (1807)	5935	75.7%

Most occurring characters

Value	Count	Frequency (%)
	7699	16.5%
e	4435	9.5%
t	3032	6.5%
o	2841	6.1%
n	2795	6.0%
a	2717	5.8%
i	2527	5.4%
s	2280	4.9%
r	2191	4.7%
h	1833	3.9%
Other values (87)	14333	30.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	35501	76.0%
Space Separator	7710	16.5%
Other Punctuation	1290	2.8%
Uppercase Letter	1249	2.7%
Math Symbol	733	1.6%
Dash Punctuation	95	0.2%
Decimal Number	64	0.1%
Format	14	< 0.1%
Open Punctuation	13	< 0.1%
Close Punctuation	13	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4435	12.5%
t	3032	8.5%
o	2841	8.0%
n	2795	7.9%
a	2717	7.7%
i	2527	7.1%
s	2280	6.4%
r	2191	6.2%
h	1833	5.2%
l	1496	4.2%
Other values (28)	9354	26.3%

Uppercase Letter

Value	Count	Frequency (%)
S	129	10.3%
T	105	8.4%
A	93	7.4%
L	89	7.1%
W	84	6.7%
M	62	5.0%
I	61	4.9%
B	60	4.8%
Y	57	4.6%
X	57	4.6%
Other values (18)	452	36.2%

Other Punctuation

Value	Count	Frequency (%)
,	491	38.1%
.	390	30.2%
/	192	14.9%
'	108	8.4%
"	37	2.9%
!	21	1.6%
;	18	1.4%
:	18	1.4%
?	14	1.1%
&	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	20	31.2%
1	13	20.3%
2	8	12.5%
3	6	9.4%
9	5	7.8%
4	5	7.8%
7	3	4.7%
8	3	4.7%
5	1	1.6%

Math Symbol

Value	Count	Frequency (%)
<	366	49.9%
>	366	49.9%
+	1	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	86	90.5%
—	7	7.4%
–	2	2.1%

Space Separator

Value	Count	Frequency (%)
	7699	99.9%
	11	0.1%

Format

Value	Count	Frequency (%)
‎	14	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36739	78.7%
Common	9933	21.3%
Cyrillic	11	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4435	12.1%
t	3032	8.3%
o	2841	7.7%
n	2795	7.6%
a	2717	7.4%
i	2527	6.9%
s	2280	6.2%
r	2191	6.0%
h	1833	5.0%
l	1496	4.1%
Other values (46)	10592	28.8%

Common

Value	Count	Frequency (%)
	7699	77.5%
,	491	4.9%
.	390	3.9%
<	366	3.7%
>	366	3.7%
/	192	1.9%
'	108	1.1%
-	86	0.9%
"	37	0.4%
!	21	0.2%
Other values (21)	177	1.8%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
м	1	9.1%
е	1	9.1%
т	1	9.1%
я	1	9.1%
к	1	9.1%
с	1	9.1%
у	1	9.1%
М	1	9.1%
ж	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46628	99.9%
Punctuation	23	< 0.1%
None	21	< 0.1%
Cyrillic	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7699	16.5%
e	4435	9.5%
t	3032	6.5%
o	2841	6.1%
n	2795	6.0%
a	2717	5.8%
i	2527	5.4%
s	2280	4.9%
r	2191	4.7%
h	1833	3.9%
Other values (69)	14278	30.6%

Punctuation

Value	Count	Frequency (%)
‎	14	60.9%
—	7	30.4%
–	2	8.7%

None

Value	Count	Frequency (%)
	11	52.4%
ö	4	19.0%
Í	3	14.3%
ä	2	9.5%
á	1	4.8%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
м	1	9.1%
е	1	9.1%
т	1	9.1%
я	1	9.1%
к	1	9.1%
с	1	9.1%
у	1	9.1%
М	1	9.1%
ж	1	9.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	76
Distinct (%)	58.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1634129873

Minimum	1604587145
Maximum	1652080636
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1604587145
5-th percentile	1609008712
Q1	1619414456
median	1640013095
Q3	1647562926
95-th percentile	1651898238
Maximum	1652080636
Range	47493491
Interquartile range (IQR)	28148470

Descriptive statistics

Standard deviation	15743584.67
Coefficient of variation (CV)	0.009634230992
Kurtosis	-1.324887299
Mean	1634129873
Median Absolute Deviation (MAD)	10267010
Skewness	-0.5246003755
Sum	2.140710134 × 10¹¹
Variance	2.478604582 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1640013095	13	9.9%
1650280105	8	6.1%
1647562926	7	5.3%
1609008712	6	4.6%
1647025026	5	3.8%
1620899446	4	3.1%
1608033303	4	3.1%
1634292467	3	2.3%
1641047076	3	2.3%
1652039298	3	2.3%
Other values (66)	75	57.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1604587145	1	0.8%
1608033303	4	3.1%
1609008712	6	4.6%
1609181354	1	0.8%
1609536448	1	0.8%
1609648885	1	0.8%
1609651676	2	1.5%
1609799896	2	1.5%
1609923648	1	0.8%
1610308004	1	0.8%

Value	Count	Frequency (%)
1652080636	1	0.8%
1652039298	3	2.3%
1652035430	1	0.8%
1651933363	1	0.8%
1651933209	1	0.8%
1651863266	2	1.5%
1651181655	1	0.8%
1650552674	1	0.8%
1650309201	1	0.8%
1650286878	1	0.8%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2001669	1
https://api.tvmaze.com/episodes/2001667	1
https://api.tvmaze.com/episodes/2001666	1
https://api.tvmaze.com/episodes/2001665	1
Other values (126)	126

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	5109
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	131 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.8%
https://api.tvmaze.com/episodes/2001669	1	0.8%
https://api.tvmaze.com/episodes/2001667	1	0.8%
https://api.tvmaze.com/episodes/2001666	1	0.8%
https://api.tvmaze.com/episodes/2001665	1	0.8%
https://api.tvmaze.com/episodes/2000073	1	0.8%
https://api.tvmaze.com/episodes/2000072	1	0.8%
https://api.tvmaze.com/episodes/1997538	1	0.8%
https://api.tvmaze.com/episodes/1997537	1	0.8%
https://api.tvmaze.com/episodes/1988405	1	0.8%
Other values (121)	121	92.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.8%
https://api.tvmaze.com/episodes/2312225	1	0.8%
https://api.tvmaze.com/episodes/1964000	1	0.8%
https://api.tvmaze.com/episodes/1995405	1	0.8%
https://api.tvmaze.com/episodes/2007760	1	0.8%
https://api.tvmaze.com/episodes/1985789	1	0.8%
https://api.tvmaze.com/episodes/2039622	1	0.8%
https://api.tvmaze.com/episodes/2039623	1	0.8%
https://api.tvmaze.com/episodes/2324427	1	0.8%
https://api.tvmaze.com/episodes/2324428	1	0.8%
Other values (121)	121	92.4%

Most occurring characters

Value	Count	Frequency (%)
/	524	10.3%
p	393	7.7%
s	393	7.7%
e	393	7.7%
t	393	7.7%
o	262	5.1%
a	262	5.1%
i	262	5.1%
.	262	5.1%
m	262	5.1%
Other values (16)	1703	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3275	64.1%
Other Punctuation	917	17.9%
Decimal Number	917	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	393	12.0%
s	393	12.0%
e	393	12.0%
t	393	12.0%
o	262	8.0%
a	262	8.0%
i	262	8.0%
m	262	8.0%
h	131	4.0%
d	131	4.0%
Other values (3)	393	12.0%

Decimal Number

Value	Count	Frequency (%)
2	142	15.5%
9	141	15.4%
0	124	13.5%
1	111	12.1%
3	78	8.5%
6	74	8.1%
8	71	7.7%
4	61	6.7%
7	60	6.5%
5	55	6.0%

Other Punctuation

Value	Count	Frequency (%)
/	524	57.1%
.	262	28.6%
:	131	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3275	64.1%
Common	1834	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	524	28.6%
.	262	14.3%
2	142	7.7%
9	141	7.7%
:	131	7.1%
0	124	6.8%
1	111	6.1%
3	78	4.3%
6	74	4.0%
8	71	3.9%
Other values (3)	176	9.6%

Latin

Value	Count	Frequency (%)
p	393	12.0%
s	393	12.0%
e	393	12.0%
t	393	12.0%
o	262	8.0%
a	262	8.0%
i	262	8.0%
m	262	8.0%
h	131	4.0%
d	131	4.0%
Other values (3)	393	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	524	10.3%
p	393	7.7%
s	393	7.7%
e	393	7.7%
t	393	7.7%
o	262	5.1%
a	262	5.1%
i	262	5.1%
.	262	5.1%
m	262	5.1%
Other values (16)	1703	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1968115	https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	Выпуск 306	6.0	52.0	regular	2020-12-25	nan	2020-12-25T00:00:00+00:00	7.0	None	nan	7847	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar	По сезону. Видеодайджест Seasonvar	Talk Show	Russian	[]	Running	9.0	9.0	2015-02-13	nan	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html	28.0	nan	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>	1.651182e+09	https://api.tvmaze.com/episodes/1977902
1	2121269	https://www.tvmaze.com/episodes/2121269/fiksiki-4x18-sanki	Санки	4.0	18.0	regular	2020-12-25	nan	2020-12-25T00:00:00+00:00	6.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/353/883109.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/353/883109.jpg'}	nan	38199	https://www.tvmaze.com/shows/38199/fiksiki	Фиксики	Animation	Russian	[]	Running	6.0	6.0	2010-12-13	nan	http://www.fixiki.ru	1.0	nan	nan	1.631301e+09	https://api.tvmaze.com/episodes/2015818
2	1984017	https://www.tvmaze.com/episodes/1984017/roast-battle-labelcom-1x15-15-dana-milohin	#15 - Даня Милохин	1.0	15.0	regular	2020-12-25	nan	2020-12-25T00:00:00+00:00	53.0	None	nan	48288	https://www.tvmaze.com/shows/48288/roast-battle-labelcom	Roast Battle Labelcom	Game Show	Russian	['Comedy']	Running	50.0	54.0	2019-12-24	nan	https://www.youtube.com/playlist?list=PLmkbS48df311cZnmhlV-5q5vY0icLXdl3	23.0	nan	<p>A bold humorous show in which comedians fight for 50,000 rubles! Six comedians will take to the stage to "fry" each other. The top two will go to the final, and only one will take the money with them!</p>	1.645055e+09	https://api.tvmaze.com/episodes/1964000
3	1991483	https://www.tvmaze.com/episodes/1991483/psih-s01-special-film-o-filme	Фильм о фильме	1.0	NaN	insignificant_special	2020-12-25	12:00	2020-12-25T00:00:00+00:00	29.0	None	nan	49280	https://www.tvmaze.com/shows/49280/psih	Псих	Scripted	Russian	['Drama', 'Thriller']	Ended	62.0	62.0	2020-11-05	2020-12-24	https://more.tv/psih	29.0	nan	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>	1.619195e+09	https://api.tvmaze.com/episodes/1995405
4	1988016	https://www.tvmaze.com/episodes/1988016/muzskaa-tema-1x05-seria-5	Серия 5	1.0	5.0	regular	2020-12-25	12:00	2020-12-25T00:00:00+00:00	30.0	None	nan	52520	https://www.tvmaze.com/shows/52520/muzskaa-tema	Мужская тема	Talk Show	Russian	[]	Ended	30.0	30.0	2020-12-17	2020-12-25	https://www.ivi.ru/watch/muzhskaya-tema	3.0	nan	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>	1.616723e+09	https://api.tvmaze.com/episodes/2007760
5	2062929	https://www.tvmaze.com/episodes/2062929/god-of-ten-thousand-realms-1x04-episode-4	Episode 4	1.0	4.0	regular	2020-12-25	10:00	2020-12-25T02:00:00+00:00	7.0	None	nan	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	['Adventure', 'Anime', 'Fantasy']	Running	7.0	7.0	2020-12-21	nan	https://v.qq.com/detail/m/mzc002007995z4v.html	65.0	nan	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1.642689e+09	https://api.tvmaze.com/episodes/1985789
6	2030154	https://www.tvmaze.com/episodes/2030154/fox-spirit-matchmaker-9x04-episode-125	Episode 125	9.0	4.0	regular	2020-12-25	nan	2020-12-25T04:00:00+00:00	10.0	None	nan	20734	https://www.tvmaze.com/shows/20734/fox-spirit-matchmaker	Fox Spirit Matchmaker	Animation	Chinese	['Comedy', 'Anime', 'Fantasy', 'Romance']	Running	10.0	10.0	2015-06-26	nan	http://www.bilibili.com/bangumi/%E7%8B%90%E5%A6%96%E5%B0%8F%E7%BA%A2%E5%A8%98/	64.0	nan	<p>Buy UCO from childhood grew up in the clan, Ichigo, but their "care" was for him a living Hell. Constant bullying, stealing the Goodies, without which Ycu can not live, and even eternal persecution, from the fair sex turned him into a goner cheapskate who wants to take revenge on his tormentors. But revenge is sweet and the path to it is thorny and to accomplish, UCU need to marry a girl Yes, as soon as possible. But when the heroes just happen? Never! And meeting with the small and the big-eared Fox Susan su su did not just destroy his plans, but starts spinning the wheel of fate that was waiting in the wings for hundreds of years!</p>	1.629636e+09	https://api.tvmaze.com/episodes/2039622
7	2324416	https://www.tvmaze.com/episodes/2324416/unique-lady-2x07-episode-7	Episode 7	2.0	7.0	regular	2020-12-25	12:00	2020-12-25T04:00:00+00:00	38.0	None	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2039623
8	2324417	https://www.tvmaze.com/episodes/2324417/unique-lady-2x08-episode-8	Episode 8	2.0	8.0	regular	2020-12-25	12:00	2020-12-25T04:00:00+00:00	38.0	None	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2324427
9	1972575	https://www.tvmaze.com/episodes/1972575/the-wolf-1x33-episode-33	Episode 33	1.0	33.0	regular	2020-12-25	nan	2020-12-25T04:00:00+00:00	45.0	None	nan	47912	https://www.tvmaze.com/shows/47912/the-wolf	The Wolf	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	45.0	45.0	2020-11-19	2021-01-04	https://www.iqiyi.com/lib/m_213579814.html	39.0	nan	<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	1.648217e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
121	1998537	https://www.tvmaze.com/episodes/1998537/mermaid-prince-1x23-episode-23	Episode 23	1.0	23.0	regular	2020-12-25	21:00	2020-12-25T13:00:00+00:00	45.0	None	nan	52780	https://www.tvmaze.com/shows/52780/mermaid-prince	Mermaid Prince	Scripted	Chinese	['Comedy', 'Fantasy', 'Romance']	Running	45.0	45.0	2020-11-25	nan	nan	24.0	nan	<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>	1.609649e+09	https://api.tvmaze.com/episodes/2234297
122	2168984	https://www.tvmaze.com/episodes/2168984/after-mom-falls-asleep-s04-special-kai-qa	KAI Q&A	4.0	NaN	insignificant_special	2020-12-25	22:00	2020-12-25T13:00:00+00:00	7.0	None	nan	57385	https://www.tvmaze.com/shows/57385/after-mom-falls-asleep	After Mom Falls Asleep	Variety	Korean	['Comedy', 'Food', 'DIY']	Running	NaN	12.0	2017-01-26	nan	https://www.pikicast.com/#!/menu=series&series_id=356762	44.0	nan	<p><b>After Mom Falls Asleep</b> is a new variety program by Pikicast that adds an ASMR element to a variety show. Guests must complete missions without waking up "Mom" while she is asleep, which usually involve cooking food and answering questions about themselves.</p>	1.650287e+09	https://api.tvmaze.com/episodes/2236494
123	1990725	https://www.tvmaze.com/episodes/1990725/sj-returns-4x87-episode-87	Episode 87	4.0	87.0	regular	2020-12-25	00:00	2020-12-25T15:00:00+00:00	5.0	None	nan	52250	https://www.tvmaze.com/shows/52250/sj-returns	SJ Returns	Reality	Korean	[]	Running	5.0	5.0	2017-10-09	nan	https://tv.naver.com/sjreturns	15.0	nan	<p>This show will follow Super Junior's everyday life.</p>	1.613088e+09	https://api.tvmaze.com/episodes/1977423
124	1972066	https://www.tvmaze.com/episodes/1972066/letterkenny-9x01-american-buck-and-doe	American Buck and Doe	9.0	1.0	regular	2020-12-25	nan	2020-12-25T16:00:00+00:00	24.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726554.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726554.jpg'}	<p>Post-fight with Dierks, the hicks/skids and hockey players attend an American Buck and Doe.</p>	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	['Comedy']	Running	NaN	24.0	2016-02-07	nan	https://www.crave.ca/tv-shows/letterkenny	97.0	nan	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1.647563e+09	https://api.tvmaze.com/episodes/1976649
125	1972067	https://www.tvmaze.com/episodes/1972067/letterkenny-9x02-kids-with-problems	Kids with Problems	9.0	2.0	regular	2020-12-25	nan	2020-12-25T16:00:00+00:00	30.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726555.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726555.jpg'}	<p>Kids with problems are given important life lessons…and hot dogs.</p>	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	['Comedy']	Running	NaN	24.0	2016-02-07	nan	https://www.crave.ca/tv-shows/letterkenny	97.0	nan	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1.647563e+09	https://api.tvmaze.com/episodes/2005096
126	1972068	https://www.tvmaze.com/episodes/1972068/letterkenny-9x03-scorched-earth	Scorched Earth	9.0	3.0	regular	2020-12-25	nan	2020-12-25T16:00:00+00:00	21.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726556.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726556.jpg'}	<p>Katy takes her scorched earth strategy to Letterkenny. Gail gets some action of her own.</p>	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	['Comedy']	Running	NaN	24.0	2016-02-07	nan	https://www.crave.ca/tv-shows/letterkenny	97.0	nan	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1.647563e+09	https://api.tvmaze.com/episodes/2005098
127	1972069	https://www.tvmaze.com/episodes/1972069/letterkenny-9x04-mitzvah	Mitzvah	9.0	4.0	regular	2020-12-25	nan	2020-12-25T16:00:00+00:00	20.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726557.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726557.jpg'}	<p>The hockey players learn about Judaism.</p>	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	['Comedy']	Running	NaN	24.0	2016-02-07	nan	https://www.crave.ca/tv-shows/letterkenny	97.0	nan	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1.647563e+09	https://api.tvmaze.com/episodes/2005099
128	1972070	https://www.tvmaze.com/episodes/1972070/letterkenny-9x05-sleepover	Sleepover	9.0	5.0	regular	2020-12-25	nan	2020-12-25T16:00:00+00:00	20.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726558.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726558.jpg'}	<p>Sleepover activities only; movies, board games and girl talk.</p>	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	['Comedy']	Running	NaN	24.0	2016-02-07	nan	https://www.crave.ca/tv-shows/letterkenny	97.0	nan	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1.647563e+09	https://api.tvmaze.com/episodes/2005100
129	1972071	https://www.tvmaze.com/episodes/1972071/letterkenny-9x06-breastaurant	Breastaurant	9.0	6.0	regular	2020-12-25	nan	2020-12-25T16:00:00+00:00	20.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726559.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726559.jpg'}	<p>A breastaurant opens in Letterkenny.</p>	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	['Comedy']	Running	NaN	24.0	2016-02-07	nan	https://www.crave.ca/tv-shows/letterkenny	97.0	nan	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1.647563e+09	https://api.tvmaze.com/episodes/2005101
130	1972072	https://www.tvmaze.com/episodes/1972072/letterkenny-9x07-ndn-nrg	NDN NRG	9.0	7.0	regular	2020-12-25	nan	2020-12-25T16:00:00+00:00	19.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726560.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726560.jpg'}	<p>Tanis starts her own energy drink.</p>	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	['Comedy']	Running	NaN	24.0	2016-02-07	nan	https://www.crave.ca/tv-shows/letterkenny	97.0	nan	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1.647563e+09	https://api.tvmaze.com/episodes/2005102

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